# Klinke DJ 2nd, Cheng N, Chambers E, ''Quantifying cross-talk among Interferon-γ, Interleukin-12 and Tumor Necrosis Factor signaling pathways within a T<sub>H</sub>1 cell model'', '''Sci Signaling''' 2012; 5:ra32. PMID 22510470 <br> ''Editor's summary: The fate of T cells involved in an immune response is determined in part by the cytokine milieu. Despite our extensive knowledge of the receptors, signaling proteins, and cytokines involved, how downstream signaling pathways interact to determine T cell fate is unclear. Klinke et al. measured receptor abundance, signaling protein activation, cytokine production, and cell population changes and used these parameters to construct mathematical models to gain insights into the signaling pathways in a mouse T cell line that were stimulated by the cytokine interleukin-12 (IL-12). This combined approach uncovered previously unappreciated aspects of IL-12 signaling that determined the T cell response and serves as an example of how mathematical modeling can refine our understanding of signaling pathways.''

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extensive knowledge of the receptors, signaling proteins, and cytokines involved, how downstream signaling pathways interact to determine T cell fate is unclear. Klinke et al. measured receptor abundance, signaling protein activation, cytokine production, and cell population changes and used these parameters to construct mathematical models to gain insights into the signaling pathways in a mouse T cell line that were stimulated by the cytokine interleukin-12 (IL-12). This combined approach uncovered previously unappreciated aspects of IL-12 signaling that determined the T cell response and serves as an example of how mathematical modeling can refine our understanding of signaling pathways.''

Klinke DJ 2nd, Integrating epidemiological data into a mechanistic model of type 2 diabetes: validating the prevalence of virtual patients, Ann Biomed Eng 2008; 36:321-34. PMID 18046647Provides a glimpse of the size and complexity of the proprietary PhysioLab models developed by Entelos, Inc.

Klinke DJ 2nd, Extent of Beta Cell Destruction is Important but Insufficient to Predict the Onset of Type 1 Diabetes Mellitus, PLoS ONE 2008; 3:e1374. PMID 18167535In a review by Mark Atkinson (Curr Opin Endo Diab Obesity (2009) 16:279-285 PMID 19502978), this is highlighted as a paper of special interest with the comment: "An interesting meta-analysis that draws to the forefront, the question of, `what percentage of b cells are destroyed at the symptomatic onset of T1D?'."

Klinke DJ 2nd, Validating a Dimensionless Number for Glucose Homeostasis in Humans, Ann Biomed Eng 2009; 37:1886-1896. PMID 19513847Develops and validates a dimensionless number for the ratio of insulin production and insulin-dependent glucose metabolism in humans.

Leski TA, Caswell CC, Pawlowski M, Bujnicki JM, Hart SJ, Klinke DJ 2nd, Lukomski S, Identification and Classification of bcl Genes and Proteins of Bacillus cereus Group Organisms and Their Application in Bacillus anthracis Detection and Fingerprinting, Appl Environ Microbiol 2009; 75:7163-7172. PMID 19767469. Describes an approach to distinguish with confidence among B. anthracis strains using variability in collagen-like proteins. This addresses one of the problems with finding the perpetrators of the B. anthracis attacks on the U.S. Capital in 2001.

Klinke DJ 2nd, An empirical Bayesian approach for model-based inference of cellular signaling networks, BMC Bioinformatics 2009; 10:371. PMID 19900289In a paper from Peter Sorger's group at Harvard (Chen et al. Genes Dev (2010) 24:1861-75. PMID 20810646), it is stated that Bayesian methods are at the forefront for using mathematical models to reason about biological systems. This highly accessed paper in BMC Bioinformatics is one of two citations provided for this statement.